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Associations between smoking, components of metabolic syndrome and lipoprotein particle size

Overview of attention for article published in BMC Medicine, September 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)

Mentioned by

twitter
11 tweeters
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
76 Dimensions

Readers on

mendeley
92 Mendeley
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Title
Associations between smoking, components of metabolic syndrome and lipoprotein particle size
Published in
BMC Medicine, September 2013
DOI 10.1186/1741-7015-11-195
Pubmed ID
Authors

Sandra N Slagter, Jana V van Vliet-Ostaptchouk, Judith M Vonk, H Marike Boezen, Robin PF Dullaart, Anneke C Muller Kobold, Edith J Feskens, André P van Beek, Melanie M van derKlauw, Bruce HR Wolffenbuttel

Abstract

The clustering of metabolic and cardiovascular risk factors is known as metabolic syndrome (MetS). The risk of having MetS is strongly associated with increased adiposity and can be further modified by smoking behavior. Apolipoproteins (apo) associated with low-density lipoprotein-cholesterol (LDL-C) and high-density lipoprotein-cholesterol (HDL-C) may be altered in MetS. This study aimed to examine the association between smoking and the following parameters: MetS and its components, levels of apolipoproteins and estimated lipoprotein particle size, separately for men and women, and in different body mass index (BMI) classes.

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Bulgaria 1 1%
Kenya 1 1%
Australia 1 1%
Unknown 89 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 17%
Student > Master 14 15%
Student > Bachelor 14 15%
Researcher 7 8%
Student > Doctoral Student 7 8%
Other 21 23%
Unknown 13 14%
Readers by discipline Count As %
Medicine and Dentistry 44 48%
Agricultural and Biological Sciences 11 12%
Nursing and Health Professions 6 7%
Environmental Science 3 3%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 6 7%
Unknown 20 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 August 2014.
All research outputs
#1,669,790
of 12,517,134 outputs
Outputs from BMC Medicine
#1,117
of 2,010 outputs
Outputs of similar age
#21,848
of 155,644 outputs
Outputs of similar age from BMC Medicine
#9
of 10 outputs
Altmetric has tracked 12,517,134 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,010 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.9. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 155,644 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one.